Interaction between Machine-Type Communication and H2H LTE Traffic in Vehicular Environments

Abstract

Extended Floating Car Data (xFCD) is the fundamental for many modern traffic forecast systems. In this paper, an xFCD source model with different transmission rules for making the data efficiently available at the forecast server by means of Long Term Evolution (LTE) enabled Machine-Type Communication (MTC) is proposed. Thereby, the delay requirements of the sensor data and the channel conditions of the communication link are taken into account. The results show that the new source model leads to a decreased utilization of the LTE system and therefore to a low service degradation of other human cellular users. Furthermore, the inserted delay of the data transmission is tolerable for the considered application.